TMU Business Statistics MBA Old Exam Papers : Teerthanker Mahaveer University

University : Teerthanker Mahaveer University
College : Teerthanker Mahaveer College of Management & Computer Applications
Degree : MBA
Subject : MBA104 Business Statistics
Semester : I
Document Type : Old Exam Papers
Website : tmu.ac.in

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TMU Business Statistics Old Exam Papers

MBA I SEMESTER EXAMINATION
Course Code : MBA104
Paper ID: 0401112

Related : Teerthanker Mahaveer Medical College & Research Centre BBA102/ BCH103 Quantitative Techniques-I BBA/ B.Com Question Paper : www.pdfquestion.in/5715.html

April 2010-11

Time : 3 Hours Max. Marks: 75
Note : Attempt six questions in all. Q. No. 1 is compulsory.
1. Answer any five of the following (limit your answer in 50 words). (3×5=15)
a) Explain arithmetic mean with its merits and demerits.
b) What do you mean by time series analysis- What are its main components-
c) Discuss the terms (i) Random experiment
(ii) Mutually exclusive events (iii) Independent events.

d) Define classical definition of probability with its limitations.
e) Differentiate between population and sample.
f) Differentiate between correlation and regression analysis.
g) What is meant by testing of hypothesis- Explain.
h) What is an index number- Explain its significance.

2. Calculate mean deviation about median for the following data : (12) Class intervals 0-10 10-20 20-30 30-40 40-50 50-60 60-70 Frequency 8 12 10 8 3 2
3. Describe median and mode with their merits and demerits. (12)

4. State and prove Bayes theorem. How is it used in proper decision making- (12)
5. Explain various methods of studying correlation. Interpret the meaning of the values of the coefficient of correlation as 0 and ± 1. (12)

6. Describe 2 test for testing the goodness of fit. 1000 families were selected at random in a city to test the belief that high income families  usually send their children to public schools and the low income families often send their children to government schools. The following results were obtained. (12) Income School Public Govt.High 370 430Low 130 70 Test whether income and type of schooling are independent at 5% level of significance. (Given that x21,.05 = 3.84)

7. Explain how trend is eliminated from a time series by moving average method from the following data. Calculate the trend values using four yearly moving average : (12)
Year 1989 1990 1991 1992 1993 1994 1995 1996 1997
Values 506 620 1036 673 588 696 1116 738 663

8. Define t-test with its applications. An operative claims that he produces 40 articles in an hour. A sample of 10 random hours shows the turns out as 43, 45, 38, 37, 41, 42, 44, 39, 43 and 38. Is the claim of the operative reasonable significant at 5% level of significance- (Use t9 = 1.833). (12)

May 2015-16

MBA I (First) Semester Examination  :
Course Code : MBA104
Paper ID : 0521206
Time: 3 Hours
Max. Marks : 70
Note : Attempt six questions in all. Q. No. 1 is compulsory.
1. Answer any five of the following (limit your answer in 50 words). (4×5=20)
a) Explain how statistics is useful in the decision making process of business & management.
b) Discuss the different types of variations in time series.
c) Differentiate between correlation and regression. Explain why there are two lines of regression.

d) Discuss the basic laws of probability.
e) The mean of Binomial distribution is 40 & standard deviation is 6. Find out n, p & q.
f) Define judgement sampling, Qouta sampling & convenience sampling. Under what conditions can each of these designs be used to advantage.

g) What is Fisher’s Ideal index number? Why is it called ideal?
h) Define quartile deviation and standard deviation.

2. In two factories A & B engaged in the same industry, the average monthly wages and standard deviations are as follows : (10)
Factory Avg Monthly Wages (Rs) Std Dev of wages (Rs) No. of wage earners
A 4600 500 100
B 4900 400 80
a) Which factory A or B pays larger amount as monthly wages?
b) Which factory shows greater variability in distribution of wages?

3. What is meant by Correlation & regression? Explain different types of correlation. Distinguish between Correlation & Regression. (10)

4. Below are the figures of production of a sugar factory (in million tons)
Year 2004 2005 2006 2007 2008 2009 2010
Production 40 45 46 42 47 49 46
Fit a straight Line trend by the least square method & estimate the values for 2014. (10)

5. Construct the Fisher’s Ideal Index from the following data & show that it satisfies Time & Factor reversal tests. (10)
Commodity 2009 2010
Price Qty Price Qty
A 20 8 40 6
B 50 10 60 5
C 40 15 50 15
D 20 20 20 25

6. Calculate the coefficient of correlation using rank method from the following data (10)
X 5 4 3 6 7 8 1 2
Y 4 5 6 3 8 7 2 1